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The Essay on learning OpenCV--The 3rd chapter of OPENCV

the two cvcreatedata () functions are responsible only for the memory allocation of the data. Sometimes, only the function Cvcreatematheader () is required because storage space has been allocated for other reasons, or because storage space is not yet ready to be allocated. The third method uses the function Cvclonemat (cvmat*), which creates a new matrix based on an existing matrix. When the matrix is no longer needed, you can call the function Cvreleasemat (cvmat*) to release it. The above fu

OPENCV Learning 1:OPENCV Installation with the first image display program

Original works, reproduced please indicate the source In order to enhance the force lattice, decided to learn OpenCV, think if you can face recognition, fixed-point landing, let the plane fly with their own. It's a little bit exciting to think about it. This is just thinking, can learn not to know yet. Ha.. 1: Download first:http://sourceforge.net/projects/opencvlibrary/ can go down here, I'm under 2.4.10 version, window under. feel that the

[Program] opencv learning tips 02: How to Use opencv in C ++ Builder (BCB)

Http://blog.finalevil.com/2008/03/opencv02c-builderbcbopencv.html -------------------------------------------------- Because opencv is an open and release source code of VC ++, the types used are provided by VC ++,If you want to use it in BCB, you must first convert the library libraries of opencv into BCB.Follow these steps: Go to unzip opencv under Open C

[Opencv learning] some ideas on Shiqi's "opencv tutorial basics"

dictionary as follows: process was med byComputer that releases the block of information from memory and allows that information to be used by a different program. The book is totally wrong.2. We recommend that youProgramDo not directly run the program supporting the CD. Pay attention to many small details.3. It is recommended that you go to opencv.org.cn to indicate all error table and Forum error submissions in the book when you first buy the book. Otherwise, it is easy to get depressed.In ge

Opencv learning notes (26) automatically recognize opencv versions and add dependent Libraries

From http://blog.csdn.net/chenyusiyuan/article/details/8706177 Here we will introduce a method to automatically identify the opencv version number in the header file and add the corresponding dependent Library (. Lib file) accordingly. DetailsCodeAs follows: # Ifndef _ predep_h _ # Define _ Predep_h _ # Pragma Once # Include " Targetver. h " # Include # Include # Include # Include " Opencv2/CORE/version. HPP " # Include " Opencv2/i

[Ubuntu + opencv] matrix creation and initialization of opencv-learning notes [4]

. CvcreatedataAllocates array data // allocate memory space for the ArrayVoid cvcreatedata (cvarr * ARR );Arr array header // arr is the array Header The function allocates image, matrix or multi-dimen1_array data. Note that in the caseOf Matrix types opencv allocation functions are used and in the case of iplimage they are usedUnless CV turn on IPL compatibility was called. In the latter case IPL functions are usedTo allocate the data. // This funct

Learning OpenCV---() opencv Hough Transform: Hough line transformation, Hough Circle transformation

Tag: ble init IDT process ogr expression direction requires harIn This article, we will study the knowledge points related to Hough transform in OpenCV, and understand the use of HOUGHLINES,HOUGHLINESP functions to realize the OPENCV transformation in the The method of using the Houghcircles function of the Huffman Circle transform is realized. Let's have a taste of it. One of the sample programs runs:First

Learning opencv 2.4.9 (1) --- opencv + vs2012 environment Configuration

Cool liukun321 From: http://blog.csdn.net/liukun321 First obtain the latest opencv 2.4.9 source code: opencv source code download 1. opencv environment variable configuration 1. Install the source code to the specified directory: 2. Add an environment variable for opencv: Computer --> properties click Advanced Syste

OpenCV learning completely based on the OpenCV of binocular depth of vision and the realization of ranging __OPENCV

Directory Directory Description Binocular Ranging principle OPENCV realization of binocular ranging principle binocular ranging code description of the code and implementation of binocular ranging next 1 Description Afraid to forget later, now summed up some time ago has been made, about binocular vision of things.The principle of binocular vision there are many online, I simply record my understanding of this.The specific implementation is mainly re

Opencv learning notes () -- No.: opencv 2.4.1 again .....

It is only one month before 2.4.0 is released. On Children's Day, 2.4.1 was released .... I really can't keep up with the pace. It's a long journey .... The major change was the bug revision. A friend told me earlier that he could not configure Cuda in version 2.3.1. Later he succeeded in version 2.2, it seems that there are still a lot of new version bugs, and we cannot blindly seek new versions. This 2.4.1 version is updated as follows: The GPU module supports cuda4.1 and cuda4.2 versions, a

Basic Learning notes: opencv (23): a preliminary understanding of opencv Coordinate System

  Preface I believe that many of my friends will encounter a small problem when using opencv, and sometimes they do not pay enough attention to such a small problem, or simply program it on the surface, so some inexplicable problems occurred during code debugging, and the time for the problem was too long. Recently I encountered this problem when debugging a project, that is, the difference between mat: At (x, y) and MAT: At (point (x, y, in my projec

Basic Learning notes: opencv (1): An Example of facedetect in opencv

A mainstream face detection method is like Haar + embedding sting, which is also used in opencv. This method can be applied to the detection of rigid objects, provided that the cascade classifier (for example, the Haar-like feature) is trained. Once the training data is completed, the cascadeclassifier class in opencv is called directly, you can use several simple member functions to complete the detection

Opencv learning notes (6)-opencv algorithm processing for morphology

First, you must understand the kernel structure in opencv: iplconvkernel. How to create Iplconvkernel * cvcreatestructingelementex (INT cols, // line int rows, // column int anchor_x, // coordinate int anchor_y, int shape, // cv_shape_rect of the reference point inside the closed rectangle of the core: the core is a rectangle, cv_shape_cross: Cross, cv_shape_ellipse: elliptical, cv_shape_custom: User-Defined value int * values = NULL ); The release f

Opencv learning notes (40) -- next to opencv Data Structure mat

I remember getting started with opencv because a two-dimensional dynamic array is needed in an algorithm. At that time, it was easy to look at the core part. With the increase in usage, we became more and more fond of the mat structure, I also thought it was necessary to learn about the new things, so I will take a look at Mat this time. The biggest advantage of mat is similar to that of STL. It manages the memory dynamically without manual memory man

Basic Learning notes opencv (20): Color Space in opencv (ing ...)

Ycrcb Ycrcb is widely used in video compression and digital image processing. It is a color space based on human eyes. In opencv, the formula for converting from RGB space to ycrcb space is as follows: Note that the formula from RGB to ycrcb is not unique. Here, opencv only uses the formula in Intel IPP. The Delta value is as follows: Here we use 8-bit RGB channels as an example, that is, Delta tak

Opencv learning notes () -- Talk about the data structure of opencv, mat is so powerful

don't know how to use the reserve function to open up. This statement runs for about 100 ms. Let's look at this code again today and find that I am too stupid. Why should we use vector Mat test1 = mat _ The result only takes 0.2 ms !!! Comrades, STL seems so powerless in front of mat! I decided to spend a few days reading the core of the reference to thoroughly understand the opencv data structure. We also feel that mat is compatible with STL, an

Opencv learning notes () -- use opencv to recognize human faces and gender recognition contrib

The story of face recognition can't be told. Let's leave the investigation to everyone. Here we are talking about face recognition with opencv. Because it is real face recognition and not funny entertainment, the database must be powerful. We recommend a website http://www.face-rec.org/databases /. Here is an overview of the most comprehensive face database. I hope you can find the desired face Library (PS: I need a 3D face library, but I don't know w

Opencv learning notes (19th) -- Marker Detection and Recognition "Master opencv" chp.2

The second chapter describes how to implement the calibration-based Augmented reality on the iOS platform, including the following four aspects: 1. Build opencv project on iOS platform 2. Marker Detection and Recognition 3. Camera Calibration and marker pose estimation 4. rendering a 3D virtual object based on marker The first part is the development of the iOS platform. I am not too concerned about it. The fourth part is the establishment of a 3D vir

Learning opencv -- drawing cartoons with opencv

It is also interesting to draw cartoons with opencv when you are idle, although the effect is not good (it cannot achieve the effect achieved above ), The parameter needs to be adjusted. It is more suitable for images with large sizes and low noise. You can also familiarize yourself with various filtering operations, such as bilateral filtering; # Include "CV. H "# include" highgui. H "using namespace CV; using namespace STD; int main () {string name

"Python+opencv learning" first, Gui Features in Opencv (2) matplotlib display picture __python

The main implementation of this paper is to display grayscale images and color images with matplotlib. Some students in the use of matplotlib display color images, will get undesirable effects, specific reasons and solutions please see below. 1. matplotlib Display grayscale Images Import Cv2 from matplotlib import pyplot as Plt img = cv2.imread (' test.jpg ', 0) plt.imshow (img, cmap = ' gray ') #plt. Xticks ([]), Plt.yticks ([]) #去除横纵坐标 plt.show () 2. Matplotlib Display color image Somet

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